code: def test_generate_examples_with_metadata_that_misses_one_image(
      image_files_with_metadata_that_misses_one_image, drop_metadata
  ):
      (
          image_file,
          image_file2,
          image_metadata_file,
      ) = image_files_with_metadata_that_misses_one_image
      if not drop_metadata:
          features = Features(
              {"image": Image(), "caption": Value("string")}
          )
      else:
          features = Features({"image": Image()})
      imagefolder = ImageFolder(
          drop_metadata=drop_metadata,
          features=features,
          data_files={
              "train": [image_file, image_file2, image_metadata_file]
          },
      )
      gen_kwargs = imagefolder._split_generators(
          StreamingDownloadManager()
      )[0].gen_kwargs
      generator = imagefolder._generate_examples(**gen_kwargs)
      if not drop_metadata:
          with pytest.raises(ValueError):
              list(generator)
      else:
          assert all(
              example.keys() == {"image"}
              and all(val is not None for val in example.values())
              for _, example in generator
          )
  
imports: import shutil
  import textwrap
  import numpy
  import pytest
  from datasets import ClassLabel, Features, Image, Value
  from datasets.data_files import DataFilesDict, get_data_patterns
  from datasets.download.streaming_download_manager import StreamingDownloadManager
  from datasets.packaged_modules.imagefolder.imagefolder import ImageFolder
  from ..utils import require_pil
label_desc: Use image node_id 14 for calling a global function with example usage: test_generate_examples_with_metadata_that_misses_one_image(image_files_with_metadata_that_misses_one_image, drop_metadata) without return types